Performance Optimization: Optimize application performance, latency, scalability, and infrastructure utilization across AI workloads.
Required Skills & Qualifications
10+ years of experience in software engineering with strong expertise in Python development.
Strong experience developing REST APIs, microservices architectures, and event-driven systems.
Hands-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or Agent Development Kit (ADK).
Experience building and supporting RAG-based applications and enterprise AI solutions.
Strong knowledge of LangChain, LlamaIndex, LangSmith, and LangFlow.
Experience working with LLMs including OpenAI, Gemini, Anthropic, Llama, or similar models.
Deep understanding of prompt engineering, function calling, tool integration, agent orchestration, and evaluation techniques.
Experience with vector databases such as Pinecone, Weaviate, Chroma, or Milvus.
Strong proficiency in PostgreSQL, MySQL, MongoDB, Redis, and database optimization techniques.
Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native application development.
Familiarity with Docker, Kubernetes, and containerized deployment patterns.
Experience implementing CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI.
Experience with monitoring, logging, and observability tools for production systems.
Compensation, Benefits and Duration
Minimum Compensation: USD 39,000
Maximum Compensation: USD 137,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
