DevPulse

We're building the future with intelligent agent-based systems at the heart of our strategy. Join a passionate, innovative team shaping how Al agents transform business workflows and user experiences across industries.
 

What You'll Do
• Design & Develop: Architect, build, and optimize Al agents that automate and enhance complex workflows.
• Collaborate: Work closely with product managers, data scientists, and engineers to deliver robust, scalable agent solutions.
• Innovate: Research and implement cutting-edge techniques in multi-agent systems, LLM orchestration, and autonomous task management.
• Integrate: Connect agents with AP/s, databases, and third-party services to create seamless, end-to-end automation.
• Scale: Ensure reliability, security, and performance as our agent ecosystem
grOWS.
 

What We're Looking For
• Experience: 3+ years in Al/ML engineering, with a focus on agent-based systems or workflow automation.
• Technical Skills: Proficient in Python and frameworks such as LangChain, Ray, or similar. Familiarity with LLMs, RL, or multi-agent coordination is a plus.
• Problem Solver: Creative thinker who thrives on tackling complex, open-ended challenges.
• Team Player: Excellent communicator who enjoys collaborating in a fast-paced, agile environment.
• Continuous Learner: Passion for staying up-to-date with the latest Al research and technologies.
 

Why Join Us?
• Impact: Shape the future of intelligent automation in a high-growth, strategic area.
• Culture: Supportive, diverse, and innovative team environment.
• Growth: Opportunities for learning, leadership, and career advancement.
• Benefits: Competitive salary, flexible work options, and great perks.
 

Ready to build the next generation of Al agents? Apply now and let's create something extraordinary together!

We’re building a smart DevOps platform that plans, provisions, and operates cloud infrastructure using AI. 

What We’re Looking For

Experience: 5+ years in Python software engineering (backend/platform/devops tooling).

Core Skills:

• Strong Python (FastAPI, asyncio), testing (pytest), packaging and CI.
• Docker containers
• Cloud fluency in at least one provider (AWS/GCP/Azure) and its SDKs.
• Observability (metrics/logs/traces) and incident-ready engineering.
• LLM/agent frameworks (LangChain, Ray), prompt tooling, retrieval (vector DBs).

Nice to Have:

• Policy engines (OPA), secrets management (Vault), and supply-chain security (SBOM, SLSA).
• Experience with event systems (Kafka/Redpanda), Argo Workflows, or Airflow.