Senior Software Engineer - AI

About Reckonsys Tech Labs:-

Reckonsys is a boutique AI-First software product development services firm specialized in creating uncommon solutions for common problems by making use of the right technologies and best practices.

Established in 2015, we have 65+ associates. Out of 100+ Products that we have built for our clients, over the last decade, 50+ either got funded/acquired/have become profitable!!

Website Link: https://www.reckonsys.com/

LinkedIn Link: https://www.linkedin.com/company/reckonsys/mycompany/

Clutch co: https://clutch.co/profile/reckonsys#summar

Location: HSR Layout, Bengaluru

Role Type: Full-time

About the role:

We are looking for a Senior Software Engineer - AI who thrives at the intersection of modern web platforms and intelligent AI systems. You will own end-to-end product development — from architecting scalable backends to shipping polished React frontends — while actively leveraging Generative AI tools in your daily workflow.

This is a high-impact role at an AI-first company that also delivers world-class IT services. You will work on real-world AI-powered products, mentor engineers, shape architecture, and drive DevSecOps culture across the team.

Key Responsibilities:

• Design, build, and maintain high-performance web platforms using Python (Django/Flask/FastAPI) and React.
• Architect and implement scalable, resilient backend services and microservices with clean API design. Lead data modelling decisions across relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) databases.
• Build and manage asynchronous task pipelines using Celery, RabbitMQ, and Redis for event-driven architectures.
• Integrate and develop AI-powered features leveraging LLMs, RAG pipelines, Vector Databases (Pinecone, Weaviate, ChromaDB), and Agentic AI frameworks.
• Use Gen AI coding tools (Claude Code, Cursor, GitHub Copilot) as force multipliers in day-to-day development. Champion DevOps and DevSecOps best practices — CI/CD pipelines, containerisation (Docker/Kubernetes), IaC, SAST/DAST.
• Conduct thorough code reviews, define engineering standards, and mentor junior/mid-level engineers.
• Collaborate with Product, Design, and Data teams to translate requirements into robust, production-grade solutions.
• Contribute to system design decisions, technical roadmaps, and architecture documentation.

Required Skills & Experience

Backend & Web Frameworks

• 5–8 years of professional software development experience.
• Strong proficiency in Python; deep expertise in at least two of Django, Flask, or Fast API or Node JS.
• Solid understanding of RESTful API design, GraphQL, and WebSocket-based communication.
• Experience with auth patterns: OAuth2, JWT, RBAC, OpenID Connect.

Frontend

• Proficiency in React.js with hooks, state management (Redux/Zustand/Context), and modern build tooling (Vite/Webpack).
• Comfortable with TypeScript, responsive design, and component libraries (Material UI, Ant Design, Tailwind CSS).

Data & Databases

• Strong data modelling skills for both transactional (SQL) and document/analytical workloads (NoSQL).
• Hands-on with PostgreSQL, MySQL, MongoDB, Redis, and DynamoDB.
• Experience with database performance tuning, indexing strategies, and query optimisation.
• Familiarity with Vector Databases such as Pinecone, Weaviate, Chroma, or pgvector.

Messaging & Async Systems

• Hands-on experience with RabbitMQ, Celery, and Redis for task queues and async processing.
• Understanding of event-driven architectures, pub/sub patterns, and stream processing (Kafka is a plus).

DevOps & DevSecOps

• Strong experience with Docker and Kubernetes for containerisation and orchestration.
• Proficient in building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and IaC tools (Terraform, Pulumi).
• Knowledge of DevSecOps: SAST, DAST, secret management (Vault, AWS Secrets Manager), dependency scanning, OWASP Top 10.
• Experience with observability stacks: logging, metrics, tracing (ELK, Prometheus, Grafana, OpenTelemetry).

Generative AI & LLM Ecosystem

• Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, Gemini) and prompt engineering.
• Working knowledge of RAG (Retrieval-Augmented Generation) architectures and embedding pipelines.
• Familiarity with Agentic AI frameworks such as LangChain, LangGraph, LangFuse, LangSmith, LlamaIndex, CrewAI, or AutoGen.
• C…