AI Engineer – Chatbot

1 week ago

Kolkata metropolitan area West Bengal, India CentricaSoft Full time ₹ 8,00,000 - ₹ 24,00,000 per year

We are seeking an experienced and hands-on
Chatbot Development Developer with overall 3-8 yr experience
to spearhead the design, development, and deployment of advanced AI chatbot solutions. The ideal candidate will be proficient in natural language processing (NLP), text-to-SQL conversion, and leading full-stack development using
Streamlit
and
ReactJS
. The role requires strong expertise in
AWS Bedrock
,
ECS deployment
, and secure authentication integration using
AWS SSO
. This is a leadership position that involves both technical execution and mentoring a cross-functional development team.

Key Responsibilities:

  • Lead end-to-end development
    of AI-powered chatbot solutions with Text-to-SQL capabilities.
  • Architect and implement intuitive
    custom UI
    using
    Streamlit
    for internal tools and
    ReactJS
    for production-facing applications.
  • Build and optimize
    NLP pipelines
    integrated with
    AWS Bedrock foundation models
    .
  • Manage
    containerized deployment using AWS ECS
    , including task definitions, load balancers, and autoscaling.
  • Integrate
    enterprise-grade security
    via
    AWS Single Sign-On (SSO)
    .
  • Drive sprint planning, code reviews, and delivery milestones for the chatbot team.
  • Collaborate with product managers, data scientists, and DevOps engineers to ensure seamless delivery.
  • Stay updated on the latest in AI, LLM, and cloud technologies to drive innovation.

Required Skills:

  • 3+ Minimum experience
    in
    AI Development.
  • Strong hands-on experience in
    Python
    ,
    Streamlit
    ,
    ReactJS
    , and full-stack development.
  • Expertise in
    Text-to-SQL modeling
    , fine-tuning LLMs, and natural language interfaces.
  • Proficiency with
    AWS Bedrock
    and deploying generative AI applications on AWS.
  • Experience with
    Docker
    and
    ECS (Elastic Container Service)
    for scalable deployment.
  • Knowledge of
    IAM roles, security best practices
    , and
    AWS SSO
    integration.
  • Proven ability to
    lead and mentor a team
    , manage priorities, and deliver high-quality solutions.
  • Familiarity with CI/CD pipelines, logging/monitoring, and Git-based workflows.

Preferred Qualifications:

  • Experience with vector databases and semantic search (e.g., OpenSearch, Pinecone).
  • Prior experience building internal developer tools or enterprise chat interfaces.
  • Understanding of RAG (Retrieval-Augmented Generation) and LangChain or similar frameworks.
  • AWS Certifications (e.g., AWS Certified Solutions Architect, Machine Learning Specialty) is a plus.

What We Offer:

  • Opportunity to work with cutting-edge LLM and AI technologies.
  • Leadership role with autonomy and decision-making power.
  • Competitive compensation and benefits.
  • Exposure to full cloud-native deployment lifecycle on AWS.

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