--- title: 'Python Developer – Generative AI & AWS at Trackmind' canonical: 'https://feeny.ai/job/python-developer-generative-ai-aws-trackmind-hyderabad-ms3zw7yb7ber' type: 'job' last_seen: '2026-10-12' --- # Python Developer – Generative AI & AWS at Trackmind - **Company:** Trackmind - **Location:** Hyderabad, India - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-16 - **Last confirmed live:** 2026-10-12 - **Apply:** https://jobs.lever.co/trackmind/91ef7ab8-1fe2-41a5-b766-057fb63c54aa ## Job description We are looking for an experienced Python Developer with strong expertise in AWS, Generative AI, LLMs, and Microservices Architecture. The ideal candidate should have hands-on experience developing scalable Python applications, integrating AWS services, and building AI-powered solutions using Large Language Models such as GPT and Cohere. The role involves developing scalable backend services, implementing LLM-based applications and RAG solutions, building document-processing pipelines, and supporting automated CI/CD deployments in a cloud environment. Key Responsibilities: - Design, develop, test, and maintain scalable backend applications and REST APIs using Python. - Integrate Python applications with AWS services including Lambda, S3, API Gateway, ECS, EKS, EC2, DynamoDB, RDS, SQS, SNS, CloudWatch, and IAM. - Develop AI-powered applications using LLMs such as GPT and Cohere. - Build and optimize prompt workflows, embeddings, semantic search, and Retrieval-Augmented Generation (RAG) solutions. - Implement document-processing pipelines using chunking, segmentation, tokenization, and metadata enrichment techniques. - Design and optimize different document chunking strategies, including fixed-size, recursive, semantic, and context-aware chunking, based on data type and use case. - Develop and maintain RESTful APIs and event-driven microservices. - Design scalable and reliable backend services using microservices architecture. - Package and deploy applications using Docker and container orchestration platforms such as ECS/EKS where applicable. - Develop and maintain CI/CD pipelines for automated testing, deployment, and release management. - Monitor application performance and troubleshoot production issues to improve reliability, scalability, and performance. - Follow secure coding practices and AWS best practices for IAM, access control, logging, monitoring, and application security. - Write and maintain unit, integration, and end-to-end tests. - Collaborate with AI/ML engineers, Data Scientists, DevOps teams, Product Managers, and other stakeholders. - Prepare and maintain clear technical documentation, API documentation, and architecture details. - Required Skills - Strong hands-on experience with Python. - Good knowledge of OOP, data structures, and backend development. - Strong experience developing REST APIs and microservices. - Hands-on experience with AWS cloud services. - Experience with Generative AI, LLMs, GPT, Cohere, embeddings, and RAG. - Strong understanding of prompt engineering and LLM integration. - Experience with document processing, chunking, segmentation, tokenization, and semantic search. - Experience with Docker and CI/CD pipelines. - Good understanding of cloud security, IAM, monitoring, and logging. - Experience with SQL and relational databases, preferably PostgreSQL. - Good to Have - Working knowledge of React.js. - Working knowledge of Angular. - Experience with PostgreSQL and database optimization. - Experience with vector databases such as Pinecone, Qdrant, Weaviate, or similar. - Experience with LangChain, LangGraph, or similar GenAI frameworks. - Knowledge of Kubernetes and cloud-native application development. - Experience with event-driven architectures using SQS, SNS, Kafka, or similar messaging platforms. ## Preferred Candidate Profile - Strong problem-solving and analytical skills. - Good understanding of enterprise application development. - Ability to work independently as well as collaborate with cross-functional teams. - Good communication skills. - Willingness to learn and work with emerging AI technologies. ## About Trackmind ## Company Overview - **One-liner**: Trackmind is a technology services firm that builds data infrastructure, AI systems, custom software, and enterprise integrations for companies operating at scale. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: HITEC City, Hyderabad, Telangana, India (with offices in the United States and London, England) - **Founded**: 2013 (with roots in operations since 2012) - **Founders**: Not publicly available ## Core Business - Primary industry/industries: Data Engineering, AI/ML, Enterprise Architecture, Analytics, Managed Operations, and Executive AI Education - Target customers: B2B, serving both startups and global enterprises (S&P Global, Archer-Daniels-Midland, Kenvue, Georgia Pacific, Givaudan, and Ginkgo Bioworks) - Mission or purpose statement: "We build systems that scale." — The company focuses on taking AI from strategy to production by solving the hardest part: the data infrastructure beneath the models. ## Products & Services - **[Data Engineering]**: Building infrastructure that holds up at production scale, with pipelines that are invisible when working. - **[AI & ML]**: Engineering for post-prototype production — MLOps, monitoring, retraining pipelines, and reliable AI infrastructure. - **[Enterprise Architecture]**: Designing architectures that make legacy ERP systems (e.g., 20-year-old systems) work seamlessly with modern AI platforms — no rip and replace. - **[Analytics]**: Building analytics that put the right insight in front of the right person at the moment it matters, not just dashboards. - **[Managed Ops]**: 24/7 monitoring and operations for data infrastructure, models, and pipelines. - **[Executive AI Education]**: Working with senior executives and leadership teams to build fluency in AI adoption — no slides, no jargon. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private, bootstrapped company) - **Key Metric**: 70 total employees (as of latest data) - **Notable Investors/Partners**: Bootstrapped — no external investors listed. Key clients include S&P Global, Archer-Daniels-Midland, Kenvue, Georgia Pacific, Givaudan, and Ginkgo Bioworks. - **Growth Signals**: The company has been operating since 2012/2013, has expanded to three offices (Hyderabad, US, London), and serves a roster of Fortune-level clients. They are actively hiring across multiple roles (Senior Nutritionist, Senior Shopify Developer, Talent Acquisition Specialist, SAP Techno-Functional Pricing Architect, Solution Architect, Finance Data & Reporting Specialist, Systems Analyst), indicating growth. ## Competitive Advantages - **Bootstrapped independence**: No VC pressure — the company has grown organically since 2012, which suggests a focus on sustainable, client-driven growth. - **Production-first approach**: They emphasize building systems that work in production, not just prototypes — a key differentiator in the AI space where many solutions fail at scale. - **Deep enterprise expertise**: They handle legacy ERP integration (SAP) alongside modern AI, a rare combination that allows them to serve large, complex clients. - **Client roster**: Working with S&P Global, ADM, Kenvue, Georgia Pacific, Givaudan, and Ginkgo Bioworks signals trust from major enterprises. ## Strategic Focus - Current priorities: Taking AI from strategy to production, building reliable data infrastructure, and helping leadership teams adopt AI with confidence. - Direction for growth: Expanding their team (active hiring across multiple disciplines) and continuing to serve both startups and global enterprises with end-to-end data and AI solutions. ## Why Work Here - **Growth**: The company invests in workshops, training, and conferences — real opportunities to get better at what you do, on company time. - **Balance**: "We protect your time outside of work. Balance is built into how we operate. Good work comes from people who have space to think." - **Team**: They hire curious, collaborative people who are good at what they do — you'll work alongside a team that makes you better. - **Work style**: On-site with offices in Hyderabad (India), the United States, and London, England. Employees work from physical offices; typical time on-site is not specified but the company operates with an "OnSite Workspace" policy. - **Notable perks**: Competitive pay and benefits are a given. The company also uses AI tools to support parts of the hiring process (reviewing applications, analyzing resumes) but final decisions are made by humans. ## Sources 1. [trackmind.com/careers](https://www.trackmind.com/careers) 2. [trackmind.com](https://www.trackmind.com/) 3. [jobs.lever.co/trackmind](https://jobs.lever.co/trackmind/) 4. [builtin.com/company/trackmind](https://builtin.com/company/trackmind) 5. 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