Software Engineer at TrueBlue · Bengaluru (Bangalore) · 3 - 6 years · Posted 14 Aug 2026

What you'll do
The Software Engineer will serve as a full stack developer within the AI and Automation team, focusing on building AI agents, chatbots, and automation solutions. The role involves taking ownership and accountability to meet commitments, developing software using programming languages, and designing, executing, and reporting on system and service tests to ensure applications function as required. Additional responsibilities include monitoring, diagnosing, and resolving technology issues, as well as supporting team members by carrying out prescribed design activities using established procedures.
What you'll bring
3+ years of experience in full stack application development using Python (for backend) and JavaScript/Typescript (for frontend).
Strong understanding of Java.
Strong understanding of Machine Learning /MLOps using Python .
Familiarity with Agentic AI frameworks.
Familiarity with Kubernetes (K8S) and Docker.
Experience in developing solutions using Azure storage and compute solutions.
Proven experience working with Azure AI solutions, especially AI Foundry and AI Search.
Experience in developing distributed event-driven applications using brokers such as Apache Kafka, IBM MQ, Solace, or Azure Event Hub.
Proven experience in working with DevOps frameworks, GIT, and CI/CD pipelines.
Experience developing integrations using established Enterprise Application Integration patterns and tools such as Apache Camel.
Required Qualifications
Specify the minimum educational qualifications necessary for this role, including degree type, field of study, and level attained.
Applicants should hold a bachelor’s degree in any discipline and possess practical experience in software development. Degrees in Computer Science, Software Engineering, or Information Technology are particularly advantageous.

About TrueBlue
About
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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.
Job Title: Full Stack AI Engineer
Location: Remote/Hyderabad
Experience Level: 3-5
Salary Range: 12-18LPA
Application Link:https://beyond.ciltriq.com/apply/BUILD
Description:
Join a team building AI-powered systems that solve complex business problems and automate operational workflows across document processing, voice agents, enterprise integrations, workflow automation, and multi-agent systems.
Strong full-stack foundations: frontend state management, asynchronous user experiences and performance; backend API design, authentication, data modelling, databases, queues and distributed systems.
Strong coding ability in Python and JavaScript or TypeScript, with practical experience in modern frontend frameworks and backend services.
Requirements:
- Design and build complete systems: frontend applications, backend services, APIs, databases, data pipelines and integrations with customer systems.
- Build multi-agent workflows with clear agent responsibilities, tool access, shared state, context management, routing, handoffs and coordination across sequential and parallel tasks.
- Make agent execution dependable through durable state, checkpoints, retries, timeouts, idempotency, recovery and human approval or review where needed.
- Deliver document-processing pipelines, voice agents and retrieval-based AI applications, connecting model outputs to useful actions in real business workflows.
- Own quality in production: automated tests, AI evaluations, guardrails, observability, access controls, deployments, incident response and clear documentation.
- Choose where AI adds value and where deterministic software is the better fit. Balance accuracy, latency, cost, security and maintainability.
- Improve reusable engineering foundations, review code and help other engineers grow as the team expands.
- A solid understanding of tool calling, structured outputs, retrieval, context and memory management, model selection and evaluation.
- Practical cloud and deployment experience, including containers, CI/CD, secrets management, logging, monitoring and production debugging.
- Ability to reason from first principles, investigate failures across system boundaries and communicate technical decisions clearly to customers and teammates.
- Useful additional experience: Document AI and OCR, real-time voice systems, enterprise integrations, agent protocols such as MCP, and orchestration frameworks.
- Useful additional experience: Mentoring engineers or building reusable platforms.
Role: AI Developer
Experience: 3–4 Years
Employment Type: Full-Time
Location: Goregaon, Mumbai
About the Role
We are looking for an experienced AI Developer with 3–4 years of software development experience and strong hands-on exposure to Generative AI, AI Agents, Copilots, and AI-powered application development.
The candidate will be responsible for building production-ready AI solutions, developing agentic workflows, modernizing legacy applications, and integrating LLM capabilities into enterprise applications.
Key Responsibilities
- Design, develop, and deploy AI Agents and agentic workflows for enterprise use cases.
- Build AI Copilots and LLM-powered applications using modern AI frameworks and APIs.
- Develop RAG-based applications using embeddings, vector databases, and enterprise data.
- Work on legacy application migration and modernization, leveraging AI-assisted development and code transformation techniques.
- Analyze legacy codebases and design strategies for AI-driven migration, refactoring, and modernization.
- Integrate LLMs with enterprise applications, APIs, databases, and third-party systems.
- Implement tool calling, function calling, multi-agent workflows, and workflow automation.
- Perform prompt engineering, context optimization, model evaluation, and AI application testing.
- Take ownership of AI solutions from POC and prototyping through production deployment.
- Collaborate with product managers, architects, and engineering teams to convert business requirements into scalable AI solutions.
- Stay updated with emerging technologies in Generative AI, Agentic AI, LLMs, and AI-assisted software development.
Required Skills
- 3–4 years of professional software development experience.
- Strong proficiency in Python and/or JavaScript/TypeScript.
- Hands-on experience developing Generative AI / LLM-based applications.
- Strong understanding of AI Agents, RAG, Prompt Engineering, LLM APIs, and embeddings.
- Experience with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.
- Experience working with REST APIs, databases, Git, and cloud environments.
- Hands-on experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, or equivalent.
- Good understanding of software architecture, debugging, testing, and deployment practices.
Good to Have
- Experience with Microsoft Copilot / Copilot Studio.
- Experience working with Claude, OpenAI, Gemini, Azure OpenAI, or open-source LLMs.
- Experience in legacy application migration, modernization, or code conversion.
- Knowledge of Azure AI / AWS / Google Cloud AI services.
- Experience with MCP, multi-agent systems, tool calling, and AI orchestration.
- Experience building enterprise-grade AI solutions with focus on security, scalability, and performance.
Full Stack Developer
Experience: 3 to 5 Years
Location: Hyderabad
Interview Mode: Face-to-Face (F2F)
Work Mode: Hybrid
Employment Type: Full-Time
Note: Immediate joiners or candidates with a notice period of up to 15 days are preferred. We are only considering candidates who can attend a face-to-face interview at our office.
Role Summary;
We are looking for a Full Stack Developer (React.js + Python + AWS + AI) to design, develop, and maintain scalable web applications and AI-powered solutions. The ideal candidate must have strong experience in React.js, Python, AWS, and AI development. Hands-on AI development experience is mandatory for this role.
Mandatory AI Skill Requirement - AI development experience is mandatory. Candidates without hands-on AI development experience will not be considered.
Candidates must have practical experience in one or more of the following:
- Building AI-powered applications.
- Working with Large Language Models (LLMs).
- Prompt Engineering.
- Retrieval-Augmented Generation (RAG).
- AI agent development using LangChain, LangGraph, or similar frameworks.
- Integrating AI models through APIs such as OpenAI, Anthropic, or Gemini.
- Developing AI-enabled workflows and intelligent business applications.
Note: Experience using AI coding assistants (ChatGPT, GitHub Copilot, Claude, Gemini, etc.) alone does not meet this requirement. Candidates must have actual AI application development experience.
Key Responsibilities
- Develop and maintain full-stack web applications.
- Build responsive frontend applications using React.js.
- Develop backend REST APIs using Python (FastAPI / Django / Flask).
- Design, develop, and integrate AI-powered features into applications.
- Develop and deploy applications on AWS cloud services.
- Work with relational databases (MySQL / PostgreSQL / SQL Server).
- Integrate frontend and backend components.
- Follow Agile/Scrum development processes.
- Write clean, maintainable, and production-ready code.
- Collaborate with cross-functional teams to deliver scalable and high-quality solutions.
Required Skills (Mandatory)
- 3 to 5 years of Full Stack development experience.
- Strong experience in React.js.
- Strong backend development experience in Python.
- Hands-on experience with AWS cloud services.
- Hands-on AI development experience (Mandatory).
- Experience with LLMs, Prompt Engineering, RAG, LangChain, LangGraph, or similar AI frameworks.
- REST API development experience.
- Strong SQL database experience.
- Git and Agile development workflow.
- Good understanding of software design principles and best practices.
Good to Have
- Docker
- CI/CD pipelines
- Microservices architecture
- Kubernetes
- Experience with vector databases and AI model integrations
Preferred Qualifications
- Bachelor's degree in Computer Science or a related field.
- Strong problem-solving and analytical skills.
- Good communication and teamwork abilities.
- Passion for learning new technologies, especially AI, cloud technologies, and modern software development.
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 :
- Round 1 – GT Technical Interview : 60 minutes
- Round 2 – Client Technical Interview : 60 minutes
- Round 3 – Project Round : 60 minutes
- 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.
Role: Full Stack JavaScript/TypeScript Developer
We're looking for a Full Stack Developer with strong JavaScript/TypeScript fundamentals to join our team and help build AI-powered product features.
Responsibilities:
Core Skills & Competencies (Must have):
- Strong proficiency in TypeScript and solid JavaScript fundamentals
- Front-end development skills with the React ecosystem (Next.js), including state management libraries like Zustand, Redux
- Expertise in HTML/CSS, with experience creating responsive and adaptive designs
- Experience building AI-assisted features such as chatbots, content generation, semantic search, recommendations, or intelligent automation
- Experience with RESTful services and APIs
- Familiarity with AI SDKs, LLM APIs, and vector databases
- Experience with SQL and database management, understanding relational databases, and ability to write efficient and optimized queries
- Understanding of database design and management, especially with SQL
- Experience with version control systems such as Git
Desired Skills & Competencies (Nice to have):
- Experience with event-driven architecture
- Experience with cloud services like Azure or AWS
- Familiarity with modern DevOps practices
- Understanding of security practices and web application security
- Familiarity with CI/CD pipelines
What we're looking for:
- Strong command over JS/TS fundamentals, not just framework-level knowledge
- Candidates with internship experience or a background from a reputed engineering college preferred
- Please share your GitHub link, portfolio, or details of projects you've built (personal, academic, or professional)
Apply: https://processity.ai/careers/fullstack-ai-engineer
BigMantra is a Vertical Autonomous AI Agent Builder — we build AI companies that go a mile deep into specific industries. Our products include Mantra Spaces (AI-powered UK HMO property management) and Verity Law (AI-powered legal conveyancing). Our team is small, our stack is modern, and your code ships to production the same week you write it.
We're looking for a Fullstack AI Applied Engineer who can build full applications end-to-end and wire AI agents into production systems that real users depend on.
WHAT YOU'LL DO
• Build and ship full-stack web applications using React / Next.js and Python / Node.js
• Design and implement AI agent workflows using LangChain, LangGraph, Claude Agent SDK, Agno, or similar
• Integrate agents with real-world APIs — Salesforce, Google Workspace, WhatsApp Business, email providers
• Build and optimize database layers — production SQL, schema design, RAG pipelines
• Own deployment and infrastructure — Docker services, CI/CD pipelines on AWS or Azure
• Write tests that matter — E2E, load tests, performance benchmarks
• Collaborate directly with the founding team on architecture and product direction
MUST HAVE
• 3+ years of professional software engineering experience
• Strong JavaScript / TypeScript — React, Next.js, Node.js in production
• Strong Python — backends, agent systems, data pipelines
• Hands-on experience with at least one AI agent framework (LangChain, LangGraph, Claude Agent SDK, Agno, or equivalent)
• Docker services for containerization and deployment
• CI/CD pipelines — GitHub Actions, GitLab CI, or similar
• Deployment experience on AWS or Azure
• Solid SQL and database skills — schema design, query optimization
GOOD TO HAVE
• Experience with autonomous agents — MCP (Model Context Protocol), skills, plugins, tool-use
• Memory and context management for long-running agents
• Prompt engineering and optimization
COMPENSATION & BENEFITS
• ₹30L – 50L per annum (based on experience)
• Equity / ESOPs — early-stage participation
• Remote-friendly — Coimbatore office available
• Learning budget — courses, conferences, AI tooling subscriptions
• Flexible hours — output over seat time
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 building an advanced, AI-driven multi-agent software system designed to revolutionize task automation and code generation. This is a futuristic AI platform capable of:
✅ Real-time self-coding based on tasks
✅ Autonomous multi-agent collaboration
✅ AI-powered decision-making
✅ Cross-platform compatibility (Desktop, Web, Mobile)
We are hiring a highly skilled **AI Engineer & Full-Stack Developer** based in India, with a strong background in AI/ML, multi-agent architecture, and scalable, production-grade software development.
### Responsibilities:
- Build and maintain a multi-agent AI system (AutoGPT, BabyAGI, MetaGPT concepts)
- Integrate large language models (GPT-4o, Claude, open-source LLMs)
- Develop full-stack components (Backend: Python, FastAPI/Flask, Frontend: React/Next.js)
- Work on real-time task execution pipelines
- Build cross-platform apps using Electron or Flutter
- Implement Redis, Vector databases, scalable APIs
- Guide the architecture of autonomous, self-coding AI systems
### Must-Have Skills:
- Python (advanced, AI applications)
- AI/ML experience, including multi-agent orchestration
- LLM integration knowledge
- Full-stack development: React or Next.js
- Redis, Vector Databases (e.g., Pinecone, FAISS)
- Real-time applications (websockets, event-driven)
- Cloud deployment (AWS, GCP)
### Good to Have:
- Experience with code-generation AI models (Codex, GPT-4o coding abilities)
- Microservices and secure system design
- Knowledge of AI for workflow automation and productivity tools
Join us to work on cutting-edge AI technology that builds the future of autonomous software.
Full-Stack Software Engineer | Remote
We're hiring a product-focused Full-Stack Engineer to join a small, fast-moving tech team. This is a hands-on role you'll build complete features across frontend, backend, APIs, databases, deployment, and increasingly, AI-assisted workflows.
What You'll Do:
- Build and ship full-stack features using modern JS/TypeScript, plus Java or Node.js on the backend
- Work across frontend, backend, APIs, databases, integrations, and deployment
- Apply secure engineering practices (auth, input validation, secrets, dependencies)
- Use AI tools for coding, debugging, testing, and code review
- Explore AI agents, tool calling, and MCP-based integrations
What We Need:
- 3+ years of professional software engineering experience
- Strong JS/TypeScript skills; experience with Angular or React
- Backend experience with Java, Node.js, or similar
- Comfortable with REST APIs, databases, Git, cloud environments
- Awareness of OWASP principles and application security
- Interest/experience in AI dev tools, Docker, CI/CD






