Jobs at Coditude

Leads the architecture and delivery of production AI and LLM solutions, including model fine-tuning, multi-agent workflows, MCP integrations, ETL pipelines, vector indexing, AI CI/CD, automated evaluation, and ModelOps observability. Partners with clients to translate business needs into secure technical solutions, mentors engineers, conducts code reviews, evaluates emerging frameworks, and ensures solution quality, performance, safety, privacy, and compliance.

Leads full-stack engineering teams delivering modern web, cloud, distributed, and AI-enabled applications. Responsibilities include architecture, authentication and authorization, microservices, serverless systems, APIs, payments, integrations, AWS deployment, AI tooling governance, mentorship, sprint delivery, and client technical engagement. The role requires hands-on development with Node.js, Python, Next.js, React, TanStack, multiple databases, secure coding practices, and agile project management.

Designs and delivers communication, accent, presentation, and soft-skills training; assesses employees, creates development plans, tracks progress, and provides coaching. Leads monthly and quarterly growth reviews, documents feedback, reports outcomes, and recommends curriculum improvements. Supports internal communications, events, CSR activities, campus sessions, onboarding orientation, and performance escalations.

Build tools, dashboards, HubSpot integrations, backend services, and React interfaces for a client’s sales team. The role requires direct client collaboration, needs analysis, regular progress updates, and use of AI coding tools to accelerate development.

Build and operate AI agents, copilots, workflow tools, extraction pipelines, and LLM-powered products. Own work end to end from client discovery and design through coding, deployment, testing, and production support. Participate in demos and client conversations, write proposals and design documents, and independently deliver within an async team. Apply sound software engineering, PostgreSQL expertise, AI security practices, and human oversight to ensure reliable, secure outcomes.

Eight-month AI engineering bootcamp internship focused on building, deploying, and maintaining end-to-end AI products. Responsibilities include developing Python and FastAPI services, PostgreSQL and Docker applications, React dashboards, machine learning and LLM solutions, AI agents, automation frameworks, RAG systems, vector databases, and knowledge graphs. Interns will evaluate AI performance, reliability, accuracy, and cost while participating in client projects, code reviews, and technical demonstrations.

Build and operate production-grade AI systems using Generative AI, RAG, GraphRAG, knowledge graphs, vector search, LLM orchestration, and computer vision. Design scalable multi-tenant SaaS platforms, APIs, data pipelines, and cloud workloads across AWS and GCP. Implement security and compliance controls, optimize AI systems for accuracy and cost, and optionally mentor engineers and manage client delivery.

Maintain and improve AWS production infrastructure, support deployments, troubleshoot issues, and improve reliability, security, performance, and cost efficiency. Build CI/CD pipelines, provision infrastructure with Terraform or CloudFormation, configure monitoring and alerts, apply cloud security practices, automate operational tasks with Python or Bash, support incident response and on-call rotations, and document infrastructure and troubleshooting procedures.

Develop test strategies and cases, perform manual and automated testing, maintain web and API automation suites, investigate defects, and validate AI-enabled workflows involving LLMs, agents, RAG, tool calling, MCP, embeddings, and vector databases. Collaborate with engineering and product teams through code reviews, debugging, Agile ceremonies, and quality-risk communication.

Research and identify B2B prospects, build and maintain segmented databases, verify contact information, perform data hygiene, and support SDR outbound campaigns. The role involves using prospecting and CRM tools, tracking data quality metrics, and collaborating with SDRs to fulfill targeting requests across healthcare, AI, cybersecurity, and enterprise software markets.

Own and operate AWS production infrastructure for a consumer automotive platform, including networking, load balancing, CDN, IAM, CI/CD, monitoring, incident response, search infrastructure, security, and cloud cost optimization. Partner with offshore DevOps, engineering, and data teams in a follow-the-sun operating model, participate in on-call coverage, and improve production reliability, access controls, and deployment processes.

Design and optimize stateful knowledge-graph traversal for multi-turn diagnostic reasoning. Build context and memory models that preserve relevant state, reduce latency, and support near-real-time interaction. Integrate LLMs and agentic frameworks, develop regression-testing infrastructure, and independently deliver complex work from concept through deployment. Collaborate closely with leadership and communicate effectively in a remote-native environment.

Six-month HR recruitment internship supporting technical candidate sourcing, resume screening, shortlisting, interview scheduling, offer management, onboarding documentation, candidate pipeline tracking, and recruitment reporting. The role requires strong communication and organizational skills in a fast-paced IT environment and offers hands-on exposure to end-to-end technical recruitment.