Applied AI Engineer

by

Job Title: Applied AI Engineer
Location: Remote (Florida based company)
Job Type: Contract and Perm Full-Time
Salary: $120K to $140K + Solid Benefits
Job #: 7365

If you believe coding with AI isn’t good, then please do not apply to this position… otherwise:

Help us build the future of automation with AI at its core. If you care about shipping real products, solving hard problems with large language models, and building platform capabilities that help others move faster, this is the role for you.

We’re hiring across multiple teams, each with its own focus area in applied AI. Depending on the team, you may work on shared SDKs, evaluation and benchmarking systems, orchestration frameworks, retrieval infrastructure, guardrails, or user-facing AI features. What these teams share is a common operating model: you will ship to production, own meaningful problems end-to-end, and deliver impact across the organization.

Even if this description feels tailored to a very specific candidate, the reality is that the role often adapts to the strengths and experience of the person who joins. If you meet the core criteria below, we encourage you to apply.

About You

Core engineering background

• 5+ years in software engineering, including 3+ years building distributed, cloud-native services (e.g., microservices, event-driven systems, asynchronous workers, API gateways).

• Hands-on experience with service reliability and performance: profiling, latency budgets, throughput tuning, backpressure, rate limiting, caching, and resilience patterns (timeouts, retries, idempotency, circuit breakers).

• Comfortable operating production systems with observability: structured logging, metrics, tracing (OpenTelemetry), dashboards, and on-call style debugging.

Applied LLM experience (production-grade)

• 1+ year deploying LLM-powered features in production, including prompt design, tool/function calling, and multi-step workflows that must be reliable under real user traffic.

• Experience with agentic architectures: planners/executors, tool routers, memory management, and guardrailed action execution (e.g., constrained tool schemas, sandboxing, deterministic fallbacks).

• Familiarity with model behavior and failure modes: hallucinations, instruction hierarchy conflicts, tool misuse, prompt injection, and data leakage risks—and practical mitigations.

Model fundamentals and evaluation

• Working understanding of transformer-based models (attention, tokenization, context windows) and how these constraints influence product and system design.

• Experience building LLM evaluation pipelines:

  • Offline and online evals (golden datasets, regression tests, shadow deployments, A/B tests).

  • Metrics such as task success rate, exact match / rubric scoring, faithfulness, latency, cost per successful task, and safety outcomes.

  • Methods like judge-model scoring, human review workflows, and adversarial test sets.

• Exposure to prompt/version management and reproducible experimentation (dataset versioning, prompt diffs, model snapshot tracking).

Retrieval and knowledge systems (RAG)

• Experience designing and operating Retrieval-Augmented Generation systems:

  • Document ingestion, normalization, chunking strategies (semantic, recursive, structural), metadata enrichment, and deduplication.

  • Vector search and hybrid search (BM25 + dense retrieval), query rewriting, re-ranking, and caching strategies.

  • Managing vector stores and indexes, and tuning for latency, recall, and precision under load.

• Understanding of how retrieval choices affect grounding, citation quality, and freshness, and how to detect retrieval regressions.

Cloud and platform engineering

• Experience deploying services on cloud infrastructure (AWS/GCP/Azure), including containers (Docker), orchestration (Kubernetes/ECS), and CI/CD automation.

• Comfort with storage and messaging primitives: relational DBs, Redis, queues/streams, object storage, and background job frameworks.

• Ability to document trade-offs clearly (quality vs. latency vs. cost; determinism vs. flexibility; synchronous vs. async execution).

Customer-first delivery

• You love shipping. You translate ambiguous user needs into measurable outcomes and production-ready implementations, balancing velocity with correctness, safety, and operational rigor.

• You collaborate well in distributed teams and value clear written communication, pragmatic design docs, and healthy engineering practices.

Things You’ll Do

Build and scale LLM-powered systems

• Design and ship LLM-backed product features that require high reliability—leveraging tool calling, structured outputs (JSON schemas), and workflow orchestration.

• Implement prompting and orchestration patterns such as:

  • Multi-step reasoning with intermediate artifacts.

  • Tool routing and fallback models.

  • Deterministic post-processing and validation layers.

• Integrate safeguards like input/output filtering, schema validation, policy enforcement, and secure handling of sensitive data.

Engineer feedback loops and continuous improvement

• Instrument AI features to capture high-signal telemetry (user outcomes, tool success/failure, latency per step, token usage, cost per request).

• Build automated pipelines that convert production signals into:

  • New eval datasets and regression suites.

  • Prompt/model updates that can be tested via shadow traffic and progressive rollout.

• Establish quality gates in CI/CD (eval thresholds, safety checks, performance budgets).

Build shared infrastructure and developer tooling

• Develop internal libraries/SDKs for consistent AI development (prompt templates, tool schema generators, standardized tracing, error taxonomies).

• Build an evaluation platform that supports:

  • Dataset management, reruns, comparison views, and experiment tracking.

  • Model/provider abstraction layers (swappable models, consistent interfaces).

• Implement orchestration systems that support concurrency control, retries, idempotency, and cost-aware execution.

Retrieval and knowledge platform work

• Build ingestion and indexing pipelines, optimize chunking/index strategies, implement hybrid search and reranking, and ensure grounding quality.

• Add monitoring for retrieval quality (coverage, recall proxies, “no-good-retrieval” detectors) and regression alerts.

Improve cost observability and efficiency

• Implement cost controls: budget alerts, per-feature cost attribution, caching, batching, model tiering, and dynamic routing based on task complexity.

• Optimize for cost-per-successful-task, not just token reduction—balancing quality, latency, and spend.

Operate production systems

• Own service health in production: dashboards, alerts, incident response, root cause analysis, and post-incident improvements.

• Proactively address failures such as model degradation, provider latency spikes, tool execution errors, and data pipeline drift.

Technical Environment (Representative)

• Languages: Python, TypeScript

• Runtime: containerized services (Docker), orchestration (Kubernetes/ECS equivalent)

• APIs: REST/GraphQL, internal service RPC patterns

• Data: Postgres/MySQL, Redis, object storage, queues/streams

• Observability: OpenTelemetry tracing, metrics/logging, alerting

• AI Stack: LLM providers, tool/function calling, RAG with vector + hybrid search, evaluation pipelines, experiment tracking

Nice to Have

• Experience with security and privacy controls for AI systems (PII handling, secret management, sandboxing, policy enforcement).

• Experience building workflow engines or orchestration layers (DAG execution, distributed task queues).

• Experience with model routing, fine-tuning adapters, or embedding model optimization.

• Prior work on reliability engineering for probabilistic systems (SLOs for non-deterministic components).

Not for you? SherlockTalent offers a $2,500 referral bonus for successful placements into this role. Include your name in the “Referral Source” field on the application.

SAP Project Manager – SAP S4 Transformation

by

Job Title: SAP Project Manager – SAP S4 Transformation
Location: 80% REMOTE-20% Travel to IL and/or MD
Job Type: Contract up to 2 years
Salary: Competitive Market Rate
Job ID: 7323

SherlockTalent is seeking a SAP Project Manager to support a Global SAP S/4 HANA initiative, focusing on technology and service transitions. The role involves overseeing issue resolution, risk management, and dependency tracking, while proactively identifying potential planning gaps. The SAP Project Manager r will be responsible for implementing risk mitigation strategies and driving actions to resolve issues effectively..
 

The Responsibilities Include:

• Provide project leadership, including the ability to discuss and champion the business case for change to a business audience and actively participate in and execute high-value business solutions. The role includes program planning and deployment, budget management, P&L management, risk management, operations transformation, systems integration, and SAP S4 HANA Global Transformation.
• Partner with Customers' transformation leadership and provide value to engagement.
• Creating and negotiating statements of work, program planning and milestone creation, and financial reporting. Fluent in Agile and Scrum methodologies.
• Manage a team of project managers to deliver the program. 
• Experience working with offshore development, rationalizing development work, and leading execution.
• Evaluate, plan for, and drive organizational change. Assist in managing the approach, tools, and processes that will be used to support business transition events
• Good command of the Microsoft Office suite of tools and substantial experience with MS Projects, Excel, and PowerPoint.
• Led multiple teams to complete contracted work through constant and clear communication, strong leadership, and development of relationships amongst team members, client peer group, and all stakeholders.  
• Must be detail-oriented, self-directed, and have strong independent problem-solving skills

• Mentors team members in technology, architecture, and delivery of applications   Successful teamwork experience and demonstrated leadership abilities are required.
• Creates a shared sense of direction and community among the teams.
• Proven ability to transfer knowledge and stay aware of current trends and technical advancements.
• Ability to articulate and present different points of view on various technologies.
• Time management skills are a must, as well as the ability to be flexible and creative.
• A strong track record of professional success, preferably in the Consulting Services arena
• Candidates should be flexible and willing to work across this delivery landscape, which includes, but is not limited to, Agile Applications Development, Support, and Deployment.

 
 Requirements:

• SAP HANA S4 Transformation Experience (Bluefield or Greenfield desired)
• PMP certification desired
• 10+ years’ experience in transformation programs/experience
• Experience in the Hospitality, Food & Beverage is a plus

 
**SherlockTalent  loves to share $1,000 bonuses for successful referrals
    No Sponsorships  / 3^RD Parties at this this time
 
 
 

SAP Program Director – SAP S4 Transformation

by

Job Title: SAP Program Director – SAP S4 Transformation
Location: 80% REMOTE-20% Travel to IL and/or MD
Job Type: Contract up to 2 years
Salary: Competitive Market Rate
Job ID: 7322

SherlockTalent is seeking a SAP Program Director to support a Global SAP S/4 HANA initiative, focusing on technology and service transitions. The role involves overseeing issue resolution, risk management, and dependency tracking, while proactively identifying potential planning gaps. The Program Director will be responsible for implementing risk mitigation strategies and driving actions to resolve issues effectively..
 

The Responsibilities Include:

• Provide project leadership, including the ability to discuss and champion the business case for change to a business audience and actively participate in and execute high-value business solutions. The role includes program planning and deployment, budget management, P&L management, risk management, operations transformation, systems integration, and SAP S4 HANA Global Transformation.
• Partner with Customers' transformation leadership and provide value to engagement.
• Creating and negotiating statements of work, program planning and milestone creation, and financial reporting. Fluent in Agile and Scrum methodologies.
• Manage a team of project managers to deliver the program. 
• Experience working with offshore development, rationalizing development work, and leading execution.
• Evaluate, plan for, and drive organizational change. Assist in managing the approach, tools, and processes that will be used to support business transition events
• Good command of the Microsoft Office suite of tools and substantial experience with MS Projects, Excel, and PowerPoint.
• Led multiple teams to complete contracted work through constant and clear communication, strong leadership, and development of relationships amongst team members, client peer group, and all stakeholders.  
• Must be detail-oriented, self-directed, and have strong independent problem-solving skills

• Mentors team members in technology, architecture, and delivery of applications   Successful teamwork experience and demonstrated leadership abilities are required.
• Creates a shared sense of direction and community among the teams.
• Proven ability to transfer knowledge and stay aware of current trends and technical advancements.
• Ability to articulate and present different points of view on various technologies.
• Time management skills are a must, as well as the ability to be flexible and creative.
• A strong track record of professional success, preferably in the Consulting Services arena
• Candidates should be flexible and willing to work across this delivery landscape, which includes, but is not limited to, Agile Applications Development, Support, and Deployment.

 
 Requirements:

• SAP HANA S4 Transformation Experience (Bluefield or Greenfield desired)
• PMP certification desired
• 10+ years’ experience in transformation programs/experience
• Experience in the Hospitality, Food & Beverage is a plus

 
**SherlockTalent  loves to share $1,000 bonuses for successful referrals
    No Sponsorships  / 3^RD Parties at this this time
 
 
 

Scrum Master

by

Job Title: Scrum Master
Location: Remote-Nashville Based
Job Type:  Contract, Contract to Perm
Salary: Competitive Market Rate
Job ID: 7317

Job Summary:
The Scrum Master will oversee and guide teams in an agile environment, using agile methodologies, techniques, and frameworks. Ensuring proper collaboration between teams and making improvements to move projects along.
Responsibilities:

• Using agile methodology values, principles, and practices to plan, manage, and deliver solutions.
• Training, mentoring, and supporting scrum teams to follow agile values, principles, and practices.
• Determining and managing tasks, issues, risks, and action items.
• Scheduling and facilitating scrum events, meetings, and decision-making processes.
• Monitoring progress and performance and helping teams to make improvements.
• Planning and organizing demos and product/system testing.
• Ensuring the proper use of collaborative processes and removing impediments for the scrum team.
• Tracking project processes, deliverables, and financials.
• Preparing and presenting status reports to stakeholders.

Qualifications:

• Excellent verbal and written communication skills.
• Extremely proficient in software programs.
• Certified scrum master, SAFe preferred.
• Organized and Detail oriented.
• Ability to learn quickly and to creatively solve new problems.
• Ability to negotiate and settle differences quickly and peacefully.
• 3+ years of experience as a scrum master or in a similar role.
• Bachelor's degree in Information Technology, Business, or related field required

SherlockTalent loves to share $1,000 bonuses for successful referrals.

No C2C at this time.