This is Srikanth from Reliable Software. We have an opportunity with one of our direct clients, and I'd like to share the details with you. Please review the information below and let me know if you're interested. Kindly share your updated resume if you'd like to be considered.
Job Title: Agentic AI Engineer
Location: Austin, TX (Hybrid 3 days On-Site and 2 days Remote)
Duration: 6-12 Months
Job Description
Responsibilities
· Design and orchestrate multi-agent systems capable of executing complex workflows.
· Build resilient agent architectures using modern frameworks (e.g., LangGraph, AutoGen) that can interact with APIs, databases, and Model Context Protocol (MCP) servers.
· Optimize agent performance for latency and accuracy, ensuring scalability.
· Translate research papers and proofs-of-concept into production grade business use cases.
· Engineer scalable pipelines to automate model training and inference.
· Write clear technical design documents (TDDs) and maintain high standards for code quality and documentation.
Qualifications
· Experience in Data Science, with a focus on NLP or Agentic AI.
· Expert proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
· Strong experience with Transformers (HuggingFace) and vector databases (Faiss, Pinecone, Milvus, etc.).
· Experience building with LLM orchestration frameworks (LangChain, LlamaIndex, LangGraph).
· Deep understanding of embedding spaces, clustering algorithms, feature engineering, and dimensionality reduction.
Educational Qualifications:
- Required - Bachelor’s degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent.
- Preferred - Master’s degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.
Travel:
· Open to travel based up on the nature of the engagement.
Thanks & Regards
Srikanth Donkani
Sr. Talent Acquisition Specialist
(w):
(E):
2260 Haggerty Road, Suite 285 Northville, MI 48167
Equal Employment Opportunity
Reliable Software employment does not discriminate on the basis of race, religion, gender, sexual orientation, age or any other basis as covered by federal, state, or local law.
Employment decisions are based solely on qualifications, merit and business needs.
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