Lead I - Software Engineering - AI Solutions Analyst
at Global Digital Transformation Solutions Provider
Amazon Web Services (AWS)
ChatGPTMUST-HAVES:
- LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
- Context & Knowledge Base Design.
- Context & Knowledge Base Design.
- Experience running LLM evals
NOTICE PERIOD: Immediate – 30 Days
SKILLS: LLM, AI, PROMPT ENGINEERING
NICE TO HAVES:
Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments
ROLE PROFICIENCY:
Role Scope / Deliverables:
- Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
- Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
- Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
- Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
- Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
- Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.
KEY DELIVERABLES:
- LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
- Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
- Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
- Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
- AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
- Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.
KEY SKILLS:
Technical & Analytical Skills:
- LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
- Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
- Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
- Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
- Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
- Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
- Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
- Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
- Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
- Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
- Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Java
PythonAmazon Web Services (AWS)Job Details
- Job Title: Lead Software Engineer - Java, Python, API Development
- Industry: Global digital transformation solutions provider
- Domain - Information technology (IT)
- Experience Required: 8-10 years
- Employment Type: Full Time
- Job Location: Pune & Trivandrum/ Thiruvananthapuram
- CTC Range: Best in Industry
Job Description
Job Summary
We are seeking a Lead Software Engineer with strong hands-on expertise in Java and Python to design, build, and optimize scalable backend applications and APIs. The ideal candidate will bring deep experience in cloud technologies, large-scale data processing, and leading the design of high-performance, reliable backend systems.
Key Responsibilities
- Design, develop, and maintain backend services and APIs using Java and Python
- Build and optimize Java-based APIs for large-scale data processing
- Ensure high performance, scalability, and reliability of backend systems
- Architect and manage backend services on cloud platforms (AWS, GCP, or Azure)
- Collaborate with cross-functional teams to deliver production-ready solutions
- Lead technical design discussions and guide best practices
Requirements
- 8+ years of experience in backend software development
- Strong proficiency in Java and Python
- Proven experience building scalable APIs and data-driven applications
- Hands-on experience with cloud services and distributed systems
- Solid understanding of databases, microservices, and API performance optimization
Nice to Have
- Experience with Spring Boot, Flask, or FastAPI
- Familiarity with Docker, Kubernetes, and CI/CD pipelines
- Exposure to Kafka, Spark, or other big data tools
Skills
Java, Python, API Development, Data Processing, AWS Backend
Skills: Java, API development, Data Processing, AWS backend, Python,
Must-Haves
Java (8+ years), Python (8+ years), API Development (8+ years), Cloud Services (AWS/GCP/Azure), Database & Microservices
8+ years of experience in backend software development
Strong proficiency in Java and Python
Proven experience building scalable APIs and data-driven applications
Hands-on experience with cloud services and distributed systems
Solid understanding of databases, microservices, and API performance optimization
Mandatory Skills: Java API AND AWS
******
Notice period - 0 to 15 days only
Job stability is mandatory
Location: Pune, Trivandrum
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Full Stack Developer - Averlon