Technical Lead

About Us Established in the year 2000 in the US, we have global offices in the US, India, UK, Australia, Mexico, Vietnam, and Canada, with best-in-class infrastructure and development facilities spread across the globe. We are an end-to-end solution provider in Banking & Financial Services, Telecom, Healthcare, Manufacturing & Energy verticals and have successfully delivered $1 billion worth of projects for more than 20 Fortune 500 companies. Position Name AI Engineer Experience 4 years Location Bangalore Shift Timings Custom Job Description Key Responsibilities •Design and develop end-to-end web applications (frontend + backend + APIs) •Build responsive UI using frameworks like React / Angular / Next.js • Develop backend services using Python / Node.js / Java / FastAPI • Develop high-performance REST APIs using FastAPI .• Ensure :• Security • Scalability • Compliance • Implement prompt engineering, prompt versioning, and optimization • Develop RAG (Retrieval-Augmented Generation) pipelines • Build and deploy AI-driven products and workflows (automation agents, NLP systems) • Handle data ingestion, preprocessing, and embeddings pipelines• Automate:• Case processing• Narrative generation • Data extraction & validation• Ensure accuracy, latency, and cost optimization of AI systems • Deploy applications on AWS• Containerize applications using Docker and Kubernetes • Build CI/CD pipelines and MLOps/LLMOps workflows• Ensure high availability, security, and scalability • Work with Product, UX, Data Science, and Engineering teams •Participate in architecture discussions and design reviews • Ensure compliance with AI governance, security, and data privacy standards • Document system architecture, APIs, and AI workflows 3. Required Skills• Frontend: FastAPI (must-have), Python, REST Framework • Backend: Python (FastAPI/Flask), Node.js, Java (Spring Boot) • Databases: PostgreSQL, MySQL, MongoDB• Strong understanding of• Large Language Models - Gemini / Claude • Prompt Engineering (CoT, Few-shot, Structured prompting)• RAG systems, embeddings, and vector search• Experience with frameworks: • LangChain, LlamaIndex, LangGraph, AutoGen, Strands (preferred) • Knowledge of :• Model evaluation, hallucination handling, output validation • Basic understanding of :• Machine learning & NLP concepts • Data preprocessing and feature engineering • Experience with Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow (good to have) • Experience with AWS Services• Containerization (Docker) and orchestration (Kubernetes) • CI/CD pipelines and deployment automation• Strong problem-solving and system design skills 4. Experience & Qualifications • Bachelor’s/Master’s in Computer Science or related field • 4–6 years of full-stack development experience • 2+ years of hands-on experience in GenAI/LLM-based applications • Experience building production-grade AI solutions preferred Competencies JOB KNOWLEDGE COMMUNICATION SKILLS INTERPERSONAL SKILLS SKILL Key Skills FastAPI (must-have), Python, REST Framework• Backend: Python (FastAPI/Flask), Node.js, Java (Spring Boot)• Databases: PostgreSQL, MySQL, MongoDB• Strong understanding of• Large Language Models - Gemini / Claude• Prompt Engineering (CoT, Few-shot, Structured prompting)• RAG systems, embeddings, and vector search• Experience with frameworks:• LangChain, LlamaIndex, LangGraph, AutoGen, Strands (preferred) Soft Skills Good communication skills Job Knowledge Qualification B.Tech Certifications