Forward Deployed Engineer (Senior/Manager)

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Position Overview

We are seeking a versatile Senior Full Stack & AI Agent Developer to architect, build, and

maintain end-to-end software solutions spanning web platforms, desktop applications, and

autonomous AI agents capable of interacting with and controlling these software systems.

The ideal candidate will bridge traditional engineering software with cutting-edge artificial

intelligence to automate data processing and enhance operational decision-making. While

not strictly required, a background or strong interest in the energy sector—specifically

drilling and completion operations—is highly desirable.

Key Responsibilities

• Full Stack Development: Design, develop, and deploy robust web applications and

native desktop software utilized by engineering and operational teams.

• AI Agent Engineering: Build, train, and integrate autonomous AI agents and LLM-

driven workflows capable of interpreting data, executing commands, and safely

controlling desktop and web-based software.

• Workflow Automation: Translate complex workflows into intuitive software features

and autonomous agent actions, minimizing manual data entry and operational

bottlenecks.

• Data Integration: Handle high-frequency data streams and integrate them seamlessly

into user interfaces and backend AI models.

• Architecture & Scalability: Ensure high performance, security, and scalability across

cloud infrastructure (AWS/Azure), local desktop environments, and potential edge

computing setups.

• Cross-Functional Collaboration: Work closely with domain experts and end-users to

translate field challenges into technical product requirements.

Required Qualifications & Experience

• Experience: Minimum of 5 years of professional software development experience,

with a proven track record of delivering production-ready web and desktop

applications.

• Programming Languages: Strong proficiency in Python, JavaScript/TypeScript, and at

least one compiled language (C#, C++, or Java).• Web & Desktop Frameworks: Hands-on experience with modern frontend

frameworks (React, Angular, or Vue.js), Node.js, and desktop application development

(Electron, WPF, Qt, or Tauri).

• AI & Agent Tooling: Demonstrated experience building AI agents using LLM APIs

(OpenAI, Anthropic), open-source models (Hugging Face), LangChain, LlamaIndex,

AutoGPT, or custom agent architectures.

• Automation & UI Control: Expertise in software control mechanisms using tools like

Selenium, Playwright, PyAutoGUI, Appium, or computer vision-based GUI automation to

allow AI agents to navigate software.

• Cloud, DevOps & Databases: Experience with Git, Docker, CI/CD pipelines, cloud

platforms (AWS/Azure/GCP), RESTful APIs, GraphQL, and relational/NoSQL databases.

Preferred Qualifications (Strong Plus)

• Industry Domain Expertise: Prior hands-on development experience within the oil and

gas sector, specifically focused on drilling, completions, rig operations, or subsurface

engineering software.

• Data & Protocols: Familiarity with oilfield data standards (e.g., WITSML, OPC-UA) and

time-series databases.

• Experience deploying AI models and agents in edge or low-connectivity environments

(such as offshore rigs or remote drilling sites).

• Familiarity with safety-critical software design and cybersecurity standards in

industrial control systems (ICS/SCADA).

• Degree in Computer Science, Software Engineering, Petroleum Engineering, or a related technical discipline.

We're looking for a Full Stack Software Engineer to help build Gen-AI applications for energy industry. If you are interested in leverage cutting-edge techniques to build APIs and complex data pipelines with end-to-end ownership of the feature you build alongside a team of some of the best engineers in the energy industry, then you will love working at Enverus. We are looking for a developer with a natural curiosity, and preferably someone who has full stack experience and a willingness to pick up additional skills on the job!

The Team:

You will join our software engineering team which focus on the forefront of innovation in the energy industry. Here, you'll be part of a highly collaborative and agile group dedicated to prototyping and leveraging cutting-edge technologies to develop new products and solutions. Come join the team and help pioneer Enverus’ mission to drive the future of energy.

What you will do: 

• Full Stack Development: Design and implement user-facing features using modern frontend frameworks (React, TypeScript) integrated with Python-based backend services 

• Scalable APIs: Develop RESTful APIs and microservices that power GenAI applications across the platform 

• Data Pipelines: Build and maintain data processing workflows using AWS services (S3, Lambda, DynamoDB, OpenSearch) 

• End-to-End Features: Own features from concept to production—frontend, backend, database, and deployment 

• GenAI Integration: Implement and optimize AI/ML model integrations, including LLMs and agentic workflows

• Modern Engineering: Work in an agile environment with CI/CD, automated testing, code reviews, and continuous improvement

What You Bring

Required

• Education: Bachelor's degree in Computer Science or related field

• Experience: 4+ years as a software developer with full stack exposure

• Backend Expertise: Strong Python, TypeScript skills with experience building APIs and backend services

• Frontend Proficiency: Experience with modern JavaScript frameworks (React, Vue, or Angular) and TypeScript

• Cloud Architecture: Hands-on experience with AWS services (S3, Lambda, DynamoDB, API Gateway)

• Database Knowledge: Proficiency with both relational (PostgreSQL/MySQL) and NoSQL databases

• DevOps Mindset: Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git)

• Problem Solving: Strong foundation in data structures, algorithms, and system design

• Communication: Excellent English communication skills; able to collaborate effectively across teams

Role: Senior Full-Stack Engineer — TypeScript & React

Location: Hyderabad, India (Hybrid)

Employment Type: Full-Time

Department: Engineering

About CargoSprint

CargoSprint accelerates cargo movement across air, ocean, road, and rail through innovative payment, appointment, and visibility solutions. We build technology that connects logistics operations, streamlines complex workflows, and improves the movement of goods across the supply chain.

Our engineering teams work at the intersection of logistics infrastructure, agentic AI, and modern cloud architecture to build scalable, reliable software that powers real-world freight operations.

About the Role

We are looking for a Senior Full-Stack Engineer with strong expertise in TypeScript, React, Node.js, and AWS serverless architecture to build and deliver end-to-end product features.

In this role, you will take ownership of features across the entire technology stack—from database schema design and backend APIs to intuitive, high-performance user interfaces. You will build serverless services, event-driven workflows, and AI-powered capabilities that simplify complex logistics operations for carriers, brokers, and shippers.

You will work within an established engineering ecosystem, following proven architectural patterns and delivering against a well-defined product backlog. We value engineers who combine strong technical fundamentals with pragmatic execution, sound engineering judgment, and a commitment to shipping production-ready software.

This is a hands-on engineering role for someone who enjoys building, taking ownership, and delivering meaningful product outcomes.

Key Responsibilities

• End-to-End Feature Development: Design, develop, test, and deploy full-stack features using React, TypeScript, Node.js, and PostgreSQL.
• Frontend Engineering: Build responsive, maintainable, and performant user interfaces using modern React patterns, reusable components, and effective state management.
• Backend Development: Develop scalable APIs and backend services using Node.js and AWS Lambda, following serverless and event-driven design principles.
• Cloud Architecture: Build and maintain AWS-based serverless applications, including asynchronous processing workflows and serverless container workloads where appropriate.
• Infrastructure as Code: Provision, configure, and manage cloud infrastructure using SST and infrastructure-as-code practices.
• Database Engineering: Design and evolve PostgreSQL schemas, optimize queries, manage migrations, and ensure data integrity.
• Technical Design: Contribute to architectural decisions involving data modeling, API contracts, system integration, and asynchronous processing patterns.
• Production Readiness: Maintain high standards for code quality, automated testing, observability, reliability, and operational support.
• Engineering Collaboration: Work closely with product managers, designers, and other engineers to translate requirements into reliable, maintainable solutions.
• AI-Assisted Development: Use AI-powered development tools, including Claude Code, to improve engineering productivity, accelerate implementation, and support effective problem-solving.

Required Qualifications

• 5+ years of professional software engineering experience.
• 3+ years of hands-on experience with TypeScript, React, and Node.js.
• Strong understanding of JavaScript and TypeScript fundamentals, modern frontend development, and full-stack application architecture.
• Solid React expertise, including component composition, state management, performance optimization, and reusable UI patterns.
• Proven experience building and operating serverless or event-driven backend services using AWS Lambda.
• Practical experience designing and implementing REST APIs or equivalent service interfaces.
• Strong hands-on experience with PostgreSQL, including schema design, query optimization, indexing, and database migrations.
• Experience with SST for defining and managing cloud infrastructure.
• Understanding of asynchronous processing, event-driven systems, and cloud application reliability.
• Familiarity with software testing, debugging, code reviews, version control, and production troubleshooting.
• Ability to take ownership of assigned work, work independently within established patterns, and deliver high-quality software consistently.
• Experience using AI-assisted development tools, particularly Claude Code, as part of everyday engineering workflows.

Technical Skills and Tools

Experience with the following technologies and libraries will be valuable:

• Frontend: React, TypeScript, TanStack, Motion, dnd-kit.
• Backend: Node.js, AWS Lambda, serverless application development.
• Cloud & Infrastructure: AWS, SST, serverless containers, event-driven architectures.
• Database: PostgreSQL, relational data modeling, query optimization.
• Utilities & Data Processing: Turf, ExcelJS, jsondiffpatch, dayjs.
• AI-Assisted Development: Claude Code and multi-session AI-assisted coding workflows.

Candidates are not expected to have equal expertise in every library. Strong fundamentals, adaptability, and the ability to work effectively within an existing technology stack are essential.

Preferred Qualifications

• Experience working with logistics, transportation, freight management, or supply chain platforms.
• Familiarity with Transportation Management Systems (TMS), including linehaul operations, storage, multi-stop movements, and shipment coordination.
• Understanding of Electronic Data Interchange (EDI) and integrations commonly used in logistics ecosystems.
• Experience building systems that process complex operational data and asynchronous business workflows.
• Exposure to agentic AI, AI-enabled product features, or AI-assisted software engineering workflows.
• Experience operating production applications on AWS with a focus on performance, observability, and reliability.

What Success Looks Like

In this role, success means:

• Delivering end-to-end product features with minimal supervision and a strong sense of ownership.
• Building reliable, maintainable, and performant applications across the frontend, backend, and database layers.
• Following established architectural patterns while identifying practical opportunities for improvement.
• Producing production-ready code with appropriate testing, monitoring, and error handling.
• Using AI-assisted engineering tools effectively to improve delivery speed without compromising code quality.
• Contributing to a collaborative engineering culture focused on execution, accountability, and continuous improvement.

Why Join CargoSprint?

• Real-World Impact: Build software that powers real freight operations and solves tangible logistics challenges.
• Ownership and Autonomy: Work in small, high-ownership teams with direct responsibility for meaningful product outcomes.
• Modern Technology Stack: Work with TypeScript, React, Node.js, AWS serverless services, PostgreSQL, and modern infrastructure tooling.
• AI-First Engineering: Contribute to a roadmap where AI is a core part of product development, not an isolated experiment.
• Collaborative Environment: Work with a globally distributed engineering team that values pragmatic problem-solving and effective execution.
• Hybrid Flexibility: Enjoy a hybrid working arrangement based out of our Hyderabad office.

Work Location

Hyderabad, India | Hybrid | Full-Time

If you are a hands-on full-stack engineer who enjoys solving complex technical problems, building reliable cloud-native applications, and delivering software with measurable real-world impact, we would love to hear from you.

Join CargoSprint and help build the technology that keeps global freight moving.

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

 We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

 We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

 We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

 We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

This is a remote position.

Experience Level

This role is ideal for engineers with 3–6 years of experience and a strong background in building scalable, production-grade software systems.

We are looking for hands-on Software Engineers with deep expertise in Python and TypeScript, with exposure to AI/LLM systems and modern infrastructure tooling.

What You’ll Do as a Software Craftsperson

•     Take full ownership of the software development lifecycle for complex, cross-functional initiatives — from design through production readiness.

•     Build and maintain robust, scalable backend systems and APIs using Python and TypeScript, following clean code and software craftsmanship principles.

•     Design and deliver features end-to-end, balancing scope, quality, and long-term maintainability.

•     Identify technical and product issues beyond the immediate scope of work, proactively raising risks and driving solutions.

•     Shape team practices around code quality, testing, tooling, and continuous improvement using DevEx and DORA principles.

•     Collaborate closely with clients and internal teams to understand requirements, clarify priorities, and align on outcomes.

•     Mentor and guide fellow engineers to raise overall team performance and promote a culture of learning.

•     Leverage AI tools (LLMs, agentic frameworks, etc.) to accelerate design, development, testing, and delivery where applicable.

Requirements

What You’ll Bring

3–6 years of overall software engineering experience with a strong track record of owning and delivering complex production systems.

Must-Have Skills

•     Python (must-have): Deep expertise in writing idiomatic, testable, production-grade Python — including advanced OOP, data structures, algorithms, and software engineering best practices.

•     TypeScript (must-have): Strong proficiency in building and maintaining type-safe, scalable applications across frontend and/or backend TypeScript codebases.

•     Strong system design skills: ability to architect scalable, maintainable, and observable systems with a focus on reliability and long-term operability.

•     Solid engineering practices: experience with TDD, CI/CD, code reviews, refactoring, and continuous deployment in Agile or eXtreme Programming environments.

•     Working knowledge of relational databases, web server ecosystems, REST/gRPC APIs, and performance optimisation.

•     Experience with source control, bug tracking, user story writing, and maintaining clear technical documentation.

Good-to-Have Skills

•     AI / LLM experience: hands-on exposure to building applications using LLMs (GPT, Claude, Gemini, or similar) for tasks such as document classification, entity extraction, or structured data generation.

•     LLM orchestration frameworks: familiarity with LangChain, LlamaIndex, Mastra, Agno, or similar agentic frameworks.

•     Prompt engineering: experience refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs.

•     Vector databases and observability tooling: exposure to tools like Pinecone, PgVector, Qdrant, LangSmith, or DeepEval.

•     Container orchestration and infrastructure-as-code: experience with Kubernetes, Terraform, and Docker for deploying and managing production workloads.

Benefits

Life at Incubyte

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat — with all travel expenses covered.

Our environment is built for crafters: experimenting with real-world systems, solving complex infrastructure challenges, and contributing to cutting-edge AI initiatives. We are all lifelong learners, and our work is our passion.

Perks

•     Dedicated learning & development budget

•     Sponsorship for conference talks

•     Comprehensive medical & term insurance

•     Employee-friendly leave policies

•     Home Office fund

•     Medical Insurance

We are looking for a Senior Full Stack Engineer to join our lean, high-impact engineering team. This is a key founding-team role where you will work closely with the CTO and help build the engineering foundation of the company.

The ideal candidate is a backend-strong full-stack engineer with solid Python and React experience, a strong understanding of AI/LLMs, and the ability to independently take ownership of projects from idea to production.

What You'll Do:

• Build and scale applications across the backend and frontend
• Develop backend services and APIs using Python
• Build and maintain frontend applications using React
• Design and implement AI/LLM-powered applications and features
• Work with AI services and integrate them into real-world applications
• Contribute to system design and architecture
• Work with cloud infrastructure and services
• Take ownership of features and initiatives from ideation to production
• Identify problems and proactively drive solutions without requiring constant direction
• Work closely with the CTO and founding team to shape engineering practices and future systems
• Communicate technical concepts clearly to technical and non-technical stakeholders

What We're Looking For:

• 3–6 years of software engineering experience
• Strong experience with Python
• Good hands-on experience with React
• Strong backend development experience with full-stack exposure
• Practical understanding of AI, LLMs and AI services
• Experience building at least one meaningful AI project beyond basic API/chatbot integrations
• Experience taking an AI/ML application or feature into production is preferred
• Exposure to cloud platforms
• Good understanding of system design and software architecture
• Strong problem-solving and ownership mindset
• Excellent communication skills and ability to explain complex technical concepts in simple language
• Genuine hands-on experience with the technologies mentioned on the resume

What Makes This Role Different:

This is not a typical execution-focused engineering role. We are building a lean "A-team" of experienced engineers who will eventually help shape the team and take on senior/leadership responsibilities.

We're looking for someone who:

• Takes initiative rather than waiting for tasks
• Can work independently in an early-stage environment
• Is comfortable exploring and building with AI
• Can go deep into the work they've done and explain the technical decisions behind it
• Wants significant ownership and influence over the product and engineering direction

Location & Compensation

• Work Mode: Remote initially
• Future Location: Expected relocation to Bangalore in approximately 1 year
• Working Hours: Regular IST hours
• Travel: Potential opportunities to travel to Germany

Interview Process:

3 Rounds

1. Technical & Project Deep Dive – Conversational discussion around past projects, AI experience and technical depth
2. System Design & Technical Round – Deeper technical and architecture discussion
3. Founder Round – Communication, culture fit, ownership and initiative

 Senior/Lead Full Stack Engineer – AI

Experience: 5+ Years

Location: Bengaluru / Hyderabad

Employment Type: Permanent

Preferred: Immediate Joiners

Key Skills

• React.js
• Python
• Generative AI (GenAI)

Job Description

We are looking for an experienced Senior/Lead Full Stack Engineer – AI with strong expertise in React.js, Python, and Generative AI. The candidate should have hands-on experience building scalable full-stack applications, developing backend APIs, and integrating AI/GenAI solutions into enterprise applications.

Interested candidates: Please share your updated resume, current CTC, expected CTC, and notice period.

Dear Candidate,

We have an immediate opening with Mphasis for Senior Full Stack Engineer (Python AI).

📍 Location: Hyderabad / Bangalore

💼 Experience: 5+ Years

🏢 Employment: Permanent

⚡ Immediate Joiners Preferred

Mandatory Skills:

• Python
• Java + Spring Boot
• React.js
• MongoDB

GenAI

HIRING ONLY FROM BANGALORE LOCATION

General Responsibilities:

• Collaborate with the application development team to maintain, enhance, and scale the product for enterprise use.
• Design and develop scalable, high-performance solutions using cloud technologies and containerization.
• Contribute to all phases of the development lifecycle, following SOLID principles and best practices.
• Write well-designed, testable, and efficient code with a strong emphasis on Test-DrivenDevelopment (TDD), ensuring comprehensive unit, integration, and performance testing.
• Ensure software designs comply with specifications and security best practices.
• Contribute ideas to improve application maintainability and performance under the guidance of senior engineers.

Specific Responsibilities:

• Design, develop, and ship product features end-to-end—spanning UI components, RESTful APIs, and cloud infrastructure—with increasing autonomy and technical ownership
• Contribute to the design and implementation of scalable, highly available systems using Amazon Web Services, Docker, and Terraform
• Establish and maintain software quality through robust CI/CD pipelines, comprehensive test automation, and code quality standards
• Investigate and resolve production issues, conducting thorough root cause analysis and implementing preventive solutions and performance optimizations
• Monitor production systems, triage alerts/incidents, and drive root cause analysis through to resolution
• Act as a frontline responder for customer-reported issues—own the problem until the customer is unblocked and the system is stable
• Apply system design patterns including microservice architecture and build reliable, scalable solutions
• Participate in code reviews, architectural discussions, and sprint planning, contributing to technical excellence within the team

AI-Powered Development Responsibilities: 

• Integrate AI-powered tools like Anthropic Claude and frameworks to enhance code quality and development efficiency.
• Utilize AI-driven analytics to identify performance bottlenecks and optimize system performance.
• Implement AI-based security measures to proactively detect and mitigate potential threats.
• Leverage AI for automated testing and continuous integration/continuous deployment (CI/CD)processes.
• Support the adoption and effective use of AI agents for automating repetitive development, deployment, and testing processes within the engineering team.
• Utilize AI-assisted debugging platforms to accelerate issue identification and resolution in production environments.
• Apply advanced prompt engineering techniques to generate infrastructure backend service scaffolding
• Evaluate and implement agentic AI tools that enhance developer workflows, including automated test generation, intelligent code review assistance, and deployment automation

Qualifications:

• Bachelor's degree in Software Engineering from an Indian University
• 3-5 years of professional software development experience, preferably in a product company
• Min one year of AI/ML experience
• Strong proficiency in modern programming languages such as JavaScript, C#
• TypeScript/React development: React 18+, hooks(useState, useEffect, useContext), WebSocket clients
• Demonstrated experience building and deploying web applications, with frontend and backend development
• Strong working experience with cloud platforms (AWS preferred), including scalability and enterprise cloud.
• Solid grasp of software engineering fundamentals, including data structures, algorithms, and design patterns
• Experience with security best practices in web and API development.
• Experience with Test-Driven Development (TDD).
• Strong database experience, focused on query optimization
• Strong sense of ownership and accountability for code quality and system reliability—you don't wait to be asked to fix something you notice is broken
• Self-directed learning ability with capacity to independently research
• Collaborative mindset with excellent communication skills for technical discussions
• Customer-first mindset

AI-Specific Qualifications:

• Practical experience with prompt engineering and LLM response optimisation
• Knowledge of AI-driven development tools and platforms such as Claude Code and GitHub Copilot in Agentic Mode.
• Knowledge of AI-based security protocols and threat detection systems.
• Experience integrating GenAI or Agentic AI agents into full-stack workflows (e.g., using AI for code reviews, automated bug fixes, or system monitoring).
• Demonstrated proficiency with AI-assisted development tools and prompt engineering for code generation, testing, or documentation.

Preferred Experience:

- Hands-on experience with AWS services—Lambda, EC2, ECS, S3, DynamoDB, RDS;

-Certification in AWS required

- Practical knowledge of containerization (Docker) and infrastructure-as-code

- Experience building and maintaining CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI

- Proficiency with PostgreSQL, including query optimisation and schema

- Frontend development experience with React or similar modern frameworks

- Backend API development using Node.js

- Comfortable reading/writing Python for scripting and automation

- Experience with microservices architecture and distributed systems

- Active use of GenAI tools (ChatGPT, GitHub Copilot, Claude, Codeium, etc.) in your development workflow

- Track record of implementing AI-powered features or intelligent automation

What Sets You Apart:

- Prior experience in a support/on-call or SRE-adjacent rotation

- Experience debugging live production issues, not just local/staging environments

- Curiosity about system reliability, observability, and incident response practices

- Enthusiasm for staying current with emerging technologies, particularly

Job Title : Senior Consultant – Full Stack Developer with AI

Experience : 5+ Years

Open Positions : 1

Location : Remote

Working Hours : 11:00 AM to 08:00 PM IST

Engagement : 6 to 8 Months Contract-to-Hire (C2H), with potential conversion to client payroll

Expected Joining : By the last week of August / 1st week of September

Role Overview :

Thoughtworks is looking for a Senior Consultant – Full Stack Developer with AI experience who can design and develop scalable full-stack applications while leveraging modern AI development tools and agentic AI capabilities.

The ideal candidate should have strong hands-on experience with Python, JavaScript / React.js, AWS Bedrock Agent Core, Docker, Kubernetes, and modern AI-assisted development frameworks and tools. Experience building MCP servers / tools, AI skills, or integrations using tools such as Cursor, Claude Code, Codex, or GitHub Copilot will be highly valuable.

The candidate should be comfortable working across application development, AI integration, cloud technologies, and containerized environments.

Mandatory Skills :

Python, React.js / JavaScript, AWS Bedrock Agent Core, Docker, Kubernetes, MCP / AI Skills, Cursor / Claude Code / Codex / GitHub Copilot, Full-Stack Development.

Key Responsibilities :

• Design, develop, and maintain scalable full-stack applications using modern development practices.
• Build backend services and APIs using Python and related frameworks.
• Develop responsive and scalable frontend applications using ReactJS or other JavaScript frameworks.
• Design and implement AI-powered solutions using AWS Bedrock Agent Core.
• Build and integrate AI agents, tools, skills, and workflows into enterprise applications.
• Develop and work with MCP (Model Context Protocol) servers, tools, or integrations.
• Leverage AI-assisted development platforms and coding tools such as Cursor, Claude Code, Codex, or GitHub Copilot.
• Containerize applications and services using Docker.
• Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
• Follow engineering best practices around code quality, testing, security, performance, and maintainability.
• Contribute to CI/CD and cloud deployment processes; DevOps experience will be an added advantage.
• Participate in technical discussions, architecture decisions, code reviews, and project delivery.

Mandatory Skills :

• 5+ years of relevant software development experience.
• Strong hands-on experience with Python.
• Strong experience with ReactJS or another modern JavaScript framework.
• Hands-on experience with AWS Bedrock Agent Core.
• Strong experience with Docker.
• Hands-on experience with Kubernetes.
• Experience building MCP servers / tools, AI skills, or similar AI integrations.
• Experience using AI-assisted coding/development tools such as :
• Cursor
• Claude Code
• Codex
• GitHub Copilot
• Strong understanding of full-stack application development.
• Good understanding of API development, application architecture, and cloud-based solutions.

Nice to Have :

• Experience with DevOps practices and CI/CD pipelines.
• Experience with AWS cloud services beyond Bedrock.
• Experience with infrastructure automation and deployment.
• Experience building production-grade GenAI / Agentic AI applications.
• Experience with LLM integrations, AI agents, tools, and function calling.

Project Expectations :

Candidates should be able to explain at least one recent project in detail, including :

• Problem Statement : What business / technical problem were you solving ?
• Architecture & Approach : How did you design the solution ?
• Key Contributions : What did you personally build or own ?
• AI / Agent Implementation : How did you use AWS Bedrock Agent Core, MCP, or AI development tools ?
• Technology Stack : Python, React.js / JavaScript, AWS, Docker, Kubernetes, etc.
• Challenges : What were the major technical challenges ?
• Outcomes & Metrics : What measurable impact did the solution deliver, such as performance improvement, cost reduction, automation, productivity improvement, or reduced development time ?

Interview Process :

1. Round 1 – GT Technical Interview : 60 minutes
2. Round 2 – Client Technical Interview : 60 minutes
3. Round 3 – Project Round : 60 minutes
4. Additional Client Round : May be conducted on a case-by-case basis

Key Hiring Priorities :

Highest priority : Candidates with genuine hands-on experience in AWS Bedrock Agent Core + Python + React / JavaScript + Docker + Kubernetes + MCP / AI skills and practical experience using modern AI coding/agent development tools.

Note : Candidates should demonstrate hands-on implementation experience rather than only theoretical knowledge or exposure to the above technologies.