Generative AI Engineer; Data​/ML​/GenAI

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Join to apply for the Generative AI Engineer (Data/ML/GenAI) role at Jobright.ai

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Job Summary:

DATAECONOMY is seeking a Generative AI Engineer with extensive experience in Data, Machine Learning, and Generative AI to design and product ionize LLM-powered systems. The role involves selecting and fine-tuning models, crafting workflows, and ensuring the deployment of secure, observable services while maintaining MLOps rigor.

Responsibilities:

• Own E2E design for chat/agents, structured generation, summarization/classification, and workflow automation. Choose the right model vs. non-LLM alternatives and justify trade-offs.

• Build prompt stacks (system/task/tool), synthetic data pipelines, and fine-tune or LoRA adapters; apply instruction tuning/RLHF where warranted.

• Implement multi-agent/tool-calling workflows using Auto Gen, Lang Graph, CrewAI (state management, retries, tool safety, fallbacks, grounding).

• Stand up retrieval stacks with vector DBs (Pinecone/Faiss/Weaviate/pgvector), chunking and citation strategies, reranking, and caching; enforce traceability.

• Ship FastAPI services, containerize (Docker), orchestrate (Kubernetes/Cloud Run), wire CI/CD and IaC; design SLAs/SLOs for reliability and cost.

• Instrument evals (unit/regression/AB), add tracing and metrics (Langfuse, Lang Smith, Open Telemetry), and manage model/version registries (MLflow/W&B).

• Implement guardrails (prompt injection/PII/toxicity), policy filters (Bedrock Guardrails/Azure AI Content Safety/OpenAI Moderation), access controls, and compliance logging.

• Build/maintain data ingestion, cleansing, and labeling workflows for model/retrieval corpora; ensure schema/version governance.

• Optimize with batching, streaming, JSON-schema/function calling, tool-use, speculative decoding/KV caching, and token budgets.

• Partner with product/engineering/DS; review designs/PRs, mentor juniors, and drive best practices/playbooks.

Qualifications:

Required:

• 6+ years across Data/ML/GenAI

• 1–2+ years designing and shipping LLM or GenAI apps to production

• Strong Python and FastAPI

• Proven experience building secure, reliable REST services and integrations

• Hands-on with OpenAI/Anthropic/Gemini/Llama families

• At least two of:
Auto Gen, Lang Graph, CrewAI, Lang Chain, Llama Index, Transformers

• Practical experience implementing vector search and reranking

• Experience with offline/online evals (e.g., RAGAS, promptfoo, custom harnesses)

• Docker, Kubernetes (or managed equivalents), and one major cloud (AWS/Azure/GCP)

• CI/CD and secrets management

• Familiarity with tracing/metrics tools (e.g., Langfuse, Lang Smith, Open Telemetry)

• Working knowledge of data privacy, PII handling, content safety, and policy/controls for enterprise deployments

• Clear technical writing and cross-functional collaboration

• Ability to translate business goals into architecture and milestones

Preferred:

• Deeper experience with multi-agent planning/execution, tool catalogs, and failure-mode design

• Experience with pgvector/Elasticsearch/Open Search

• Comfort with relational/No

SQL/graph stores

• Human-in-the-loop pipelines, golden sets, regression suites, and cost/quality dashboards

Company:

Dataeconomy believes that the industry is pivotal, with considerable opportunities in re-imagining business models and scaling business. Founded in 2018, headquartered in Ohio, Illinois, USA, team size 201-500 employees, currently Growth Stage. DATAECONOMY has a track record of offering H1B sponsor ships.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Industries Software Development

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