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    Job · 18089891

    Axtria logo

    Project Leader

    Axtria · Noida · onsite · Posted 35d ago

    Undisclosed4–7 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role



    Position Summary
    Highly skilled Gen AI Engineering Leads with 4 to 7 years of total experience who can lead the design, development, testing, and deployment of Generative AIbased applications focused on Data and Analytics in Life Sciences domain.
    The ideal candidate will have a strong hands-on experience in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph, LangFuse), Observability, Guardrails and prompt tuning. Experience with LLM Models like Azure Open AI, Anthropic Claude or fully managed AI services like Snowflake Cortex or Databricks Genie.
    Good experience working with AWS /Azure cloud services and AI platforms like AWS Bedrock Agent Core and Azure Foundry
    Strong client problem-solving skills across life sciences data and analytics is a plus.
    This role bridges AI engineering, data analytics, and full-stack development, creating intelligent applications that augment data-driven decision-making.


    Job Responsibilities
    Gen AI Application Development Engineering
    Lead full-stack design and development using Python (FastAPI, Flask) and React/Next.js for GenAI-powered frontends.
    Build microservices or API layers that expose AI functionalities securely across teams and systems.
    Ensure robust CI/CD pipelines, version control (GitHub, Bitbucket, GitLab), and containerization (Docker, Kubernetes).
    Design and develop user-centric applications that embed GenAI outputs seamlessly into custom UI or enterprise BI tools like Power BI
    Work with data engineering and analytics teams to connect GenAI apps to existing data ecosystems (AWS S3, Azure Data Lake, Snowflake, Databricks, etc.)
    Use knowledge graphs and metadata-driven approaches to enhance contextual reasoning and data discovery
    Deploy AI workloads using Azure OpenAI, AWS Sagemaker, Bedrock, or Snowflake Cortex AI Services.
    Lead the integration of LLMs (OpenAI GPT, Anthropic Claude, Mistral, Snowflake Cortex, etc.) into enterprise-grade applications.
    Fine-tune or prompt-tune foundation models using domain-specific data (commercial, patient, Omni -channel, clinical, or market access data).
    Design and implement RAG architectures leveraging vector databases (ChromaDB, Pinecone, FAISS, Weaviate etc.).
    Develop prompt engineering frameworks and guardrails to ensure factuality, interpretability, and compliance.
    Establish evaluation pipelines for model performance, accuracy, latency, and hallucination detection.


    Education
    BE/B.Tech
    Master of Computer Application


    Work Experience
    Gen AI Application Development Engineering
    Lead full-stack design and development using Python (FastAPI, Flask) and React/Next.js for GenAI-powered frontends.
    Build microservices or API layers that expose AI functionalities securely across teams and systems.
    Ensure robust CI/CD pipelines, version control (GitHub, Bitbucket, GitLab), and containerization (Docker, Kubernetes).
    Design and develop user-centric applications that embed GenAI outputs seamlessly into custom UI or enterprise BI tools like Power BI
    Work with data engineering and analytics teams to connect GenAI apps to existing data ecosystems (AWS S3, Azure Data Lake, Snowflake, Databricks, etc.)
    Use knowledge graphs and metadata-driven approaches to enhance contextual reasoning and data discovery
    Deploy AI workloads using Azure OpenAI, AWS Sagemaker, Bedrock, or Snowflake Cortex AI Services.
    Lead the integration of LLMs (OpenAI GPT, Anthropic Claude, Mistral, Snowflake Cortex, etc.) into enterprise-grade applications.
    Fine-tune or prompt-tune foundation models using domain-specific data (commercial, patient, Omni -channel, clinical, or market access data).
    Design and implement RAG architectures leveraging vector databases (ChromaDB, Pinecone, FAISS, Weaviate etc.).
    Develop prompt engineering frameworks and guardrails to ensure factuality, interpretability, and compliance.
    Establish evaluation pipelines for model performance, accuracy, latency, and hallucination detection.


    Behavioural Competencies
    Ownership
    Teamwork Leadership
    Cultural Fit
    Motivation to Learn and Grow


    Technical Competencies
    Problem Solving
    Lifescience Knowledge
    Communication
    Capability Building / Thought Leadership
    AIML
    Snowflake
    Databricks
    AWS CodeBuild


    Skills

    Sourced from naukri

    Skills

    Aws SagemakerBedrockclaudeCI/CD Pipelinesai servicesbi toolsaws bedrockamazon web servicesCapability BuildingbitbucketAzure OpenAIAnalyticsAWS S3cloudAzure Data LakeApplication DevelopmentcomplianceMicrosoft AzureArtificial IntelligenceAnthropic SDK

    About Axtria

    Axtria logo

    Axtria

    Software Product

    2.8k+

    employees

    2010

    16 years old

    Gurgaon/Gurugram, Haryana

    India

    About

    Axtria provides cloud software and data analytics solutions to the life sciences sector, enhancing product commercialization and improving healthcare outcomes.

    Industries

    Software ProductInternetIT Services & Consulting

    Employee ratings

    783 reviews

    2.8/ 5

    Culture

    2.6

    Career growth

    2.7

    Work-life

    2.6

    Employees rate it well for

    Work Life Balance200Senior Management101Salary94Learning88Work Culture84

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