Open Requirement
Paul Jacob
Hello Team,
Pleas share suitable profiles for the below requirements.
Location: Plano. TX
Duration: 1 year with potential extension.
End Client: AT&T
Interviews: Asap
Job Description
Gen AI Engineer + Strong DE
• Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditability
• Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.
• Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud
• Ability to build and maintain an LLM evaluation framework (golden datasets, regression tests, scoring/rubrics, quality thresholds, trend tracking) for non-deterministic outputs
• Proven ability to implement observability for LLM pipelines, including structured logging, metrics, dashboards, alerting, latency breakdown, error taxonomy, and token/cost tracking
• Experience designing and integrating tool-calling / agent skills (function calling, tool interfaces, input/output schemas, guardrails, structured outputs) into data pipelines or services
• Experience with API reliability patterns relevant to model calls (rate limiting, retries/backoff, circuit breakers, timeouts, idempotency, replay/backfill)
• Demonstrated curiosity and self-learning ability in fast-evolving GenAI industry; able to iterate quickly and then harden solutions for production
GenAI Tester
We are still waiting on detailed requirements, but at high-level candidate should have QA experience with GenAI applications testing knowledge, integration & Automation Test experience in AI agents environment and prompt engineering. Hands-on knowledge in python is essential.
DS with GEN AI
• Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
• DS/ML algorithms and model working knowledge – XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc.
• LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
• Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. LLM Fine tuning experience
• Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
• Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
• API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
• Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
• Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud
• Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditability
• Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.
Thanks & Regards,
Paul Jacob
Email: pa...@promantusinc.com
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